data-analysis
Pass
Audited by Gen Agent Trust Hub on May 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements routine data analysis procedures for social science research, focusing on regression modeling, exploratory data analysis, and publication-ready output generation without any malicious patterns detected.
- [SAFE]: File system operations are constrained to project-relative paths (specifically the
data/,output/, andscripts/directories) using the Pythonpathlibmodule, which prevents unauthorized access to sensitive system files. - [SAFE]: The identified Python dependencies—including
pandas,numpy,pyfixest,plotnine,rdrobust, andlinearmodels—are established, widely-used, and legitimate libraries within the scientific computing community. - [SAFE]: The skill does not involve any network operations, external downloads, or dynamic code execution from untrusted sources. Its use of
pickle.dumpis restricted to local serialization of regression results, which is a standard practice.
Audit Metadata